Advancing AI Workflows and Inference with DevOps, MLOps, OSCAR and AI4Compose

Europe/Madrid
Judith Sainz-Pardo Diaz, Marcin Plociennik (PSNC), Álvaro López García (IFCA)
Description

In this webinar, framed within the scope of the AI4EOSC project, we will explore tools and methodologies for optimizing AI development and deployment. First, we will give an introduction to DevOps practices in the software development life cycle. Next, we will analyze the MLOps principles, followed by a live demonstration on the use of MLFlow within the AI4EOSC platform. Participants will also learn about the OSCAR system for inference, and AI4Compose, a tool for seamlessly composing AI inference pipelines.

Through these talks and demos, the webinar highlights key tools for advancing and optimizing AI operations and workflows.

Streaming via YouTube: https://www.youtube.com/watch?v=t_qDCYQ31RI

    • 10:00 AM 10:30 AM
      Software development life cycle: introduction to DevOps 30m
      Speaker: Andres Heredia Canales (IFCA)
    • 10:30 AM 11:00 AM
      Introduction to MLOps and MLFlow demonstration 30m
      Speaker: Lisana Berberi (KIT)
    • 11:00 AM 11:30 AM
      OSCAR system for inference 30m
      Speaker: Amanda Calatrava Arroyo (Universitat Politècnica de València)
    • 11:30 AM 12:00 PM
      AI4Compose: composition of AI inference pipelines 30m
      Speaker: Diego Aguirre Ramirez (Universitat Politècnica de València)